MATLAB_JPDA

calculate the Hurst exponent

vowel _phenome _classification

说明：  DF程序，可以直接运行仿真，观察以及比较DF性能(DF program, you can directly run the simulation, observation, and performance compared DF)

扩展卡尔曼滤波工具箱，里面包含了多种滤波方法和详细的例子，是学习的好工具(Extended Kalman filter kit, which contains a variety of filtering methods and a detailed example is a good tool for learning)

白噪声中单个正弦信号的频率检测与估计 产生，其中是一高斯白噪声，其均值为0，方差为1。用MUSIC方法估计观测数据中正弦波的频率，并给出白噪声方差()un2uσ 与复正弦波的振幅A的估计值。(A single frequency detection and estimation of the sinusoidal signal in white noise, which is a Gaussian white noise with mean 0 and variance 1. MUSIC method to estimate the frequency of sine wave in the observation data, and gives the white noise variance () estimated value of the the un2uσ complex sine wave amplitude A.)

雷达成像的仿真程序。包含很多的仿真小例子，对雷达成像的学习一定会很有帮助的哦(Radar imaging of the simulation program. Contains many small examples of simulation of radar imaging study will be helpful Oh)

explain Fish School Search

generate rice channel (generate rice channel)

传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动，且计算复杂度较高不适宜处理大规模数据集； 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法，但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)

matlab源代码，主要用于经济动力性计算,计算最高车速，(ecnomic dynamic computation)